An improved energy management strategy for a Battery/Ultracapacitor Hybrid Energy Storage System in Electric Vehicles

So, Kai Man; Wong, Yoke San; Hong, G.Y.; Lu, Wen Feng

doi:10.1109/itec.2016.7520186

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Choosing the best type of the battery for the HESS is very important [29]. e battery type employed in the FCHES is LiFePO4, due to its safety and high energy efficiency compared to other battery types [30].…”

Section: Fuel Cell Hybrid Electric Systemmentioning

confidence: 99%

A Modern Simple Power Prediction Index for Improving Battery Life

Dahmardeh

Rahimirad

Masih‐Tehrani

2022

International Transactions on Electrical Energy Systems

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Prediction of available energy storage power is essential for increasing the energy management performance of fuel cell hybrid electric systems (FCHES). A simple yet effective power prediction index is proposed to estimate the supercapacitor state of power. It prevents the supercapacitor’s total depletion in the battery/supercapacitor combination. Modern energy management is equipped with an equivalent consumption minimization strategy. The power prediction index is simple compared with other predictive algorithms while providing excellent efficiency compared with supercapacitor-based management strategies. A supercapacitor-based strategy is presented which extends battery life, at the cost of increased fuel consumption. However, it cannot predict the future low state of charge for the supercapacitor. In such conditions, the battery provides the demand power while fuel cells generate more current. On the other hand, the modern power prediction index energy management strategy significantly increases battery life without adding extra hardware. Moreover, fuel consumption decreased by 15.1 percent. The results show that the modern energy management strategy provides outstanding performance for battery life and fuel consumption compared with other energy management strategies due to its power limitation prediction.

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Section: Fuel Cell Hybrid Electric Systemmentioning

confidence: 99%

A Modern Simple Power Prediction Index for Improving Battery Life

Dahmardeh

Rahimirad

Masih‐Tehrani

2022

International Transactions on Electrical Energy Systems

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“…The voltage adaptation between the starter/generator and/or the battery is usually performed by suitable power converters able to guarantee a bidirectional flow of energy with high efficiency [34] [25]. When supercapacitors are used to buffer a batteries, an adequate management strategy is needed [35].…”

Section: Figure 1 Drivetrain Layout Of the Vehicle With Kersmentioning

confidence: 99%

A regenerative braking system for internal combustion engine vehicles using supercapacitors as energy storage elements - Part 1: System analysis and modelling

Pipitone

Vitale

2020

Journal of Power Sources

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“…The final section presents a reduced-scale experiment. The authors had previously presented preliminary EMS-only simulations in a conference 25 and part of this work is found in the first author's PhD thesis. 26…”

Section: Introductionmentioning

confidence: 99%

An improved speed-dependent battery/ultracapacitor hybrid energy storage system management strategy for electric vehicles

Hong

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Battery/Ultracapacitor (UC) Hybrid Energy Storage Systems (HESS) for Electric Vehicles (EVs) have been frequently proposed in the literature to increase battery cycle life. The HESS consists of a Power Management Strategy (PMS) and an Energy Management Strategy (EMS). Existing EMS are quite empirical, such as setting constant target UC energy levels regardless of load. This work presents an improved complete HESS management strategy. The EMS involves a more comprehensive method of setting the target UC energy level using a speed-dependent band. This allows the UC to achieve two goals – contain sufficient energy for future accelerations and have sufficient space for capturing energy from future regenerative braking – without knowledge of the future drive profile. The PMS involves a speed-dependent battery power limit, which also achieves two goals – better UC utilization and allowing the battery to supply the steady state power. Simulations show existing works cannot achieve the four goals simultaneously unless their UCs are sized twice as large compared to the proposed rule-based HESS. In addition, the proposed HESS extends battery cycle life by up to 42% compared to a battery-only system. Lastly, a reduced-scale experiment was built to show that the proposed HESS is able to run in real-time.

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An improved energy management strategy for a Battery/Ultracapacitor Hybrid Energy Storage System in Electric Vehicles

Cited by 7 publications

References 12 publications

A Modern Simple Power Prediction Index for Improving Battery Life

A Modern Simple Power Prediction Index for Improving Battery Life

A regenerative braking system for internal combustion engine vehicles using supercapacitors as energy storage elements - Part 1: System analysis and modelling

An improved speed-dependent battery/ultracapacitor hybrid energy storage system management strategy for electric vehicles

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